Skip to main content

Sentiment Analysis System based on B4MSA and EvoDAG

Project description

https://github.com/INGEOTEC/EvoMSA/actions/workflows/test.yaml/badge.svg https://coveralls.io/repos/github/INGEOTEC/EvoMSA/badge.svg?branch=develop https://badge.fury.io/py/EvoMSA.svg https://dev.azure.com/conda-forge/feedstock-builds/_apis/build/status/evomsa-feedstock?branchName=main https://img.shields.io/conda/vn/conda-forge/evomsa.svg https://img.shields.io/conda/pn/conda-forge/evomsa.svg https://readthedocs.org/projects/evomsa/badge/?version=docs https://colab.research.google.com/assets/colab-badge.svg

EvoMSA is a Sentiment Analysis System based on B4MSA and EvoDAG. EvoMSA is a stack generalisation algorithm specialised on text classification problems. It works by combining the output of different text models to produce the final prediction.

The documentation is on readthedocs.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

evomsa-2.0.10.tar.gz (32.3 MB view details)

Uploaded Source

Built Distributions

EvoMSA-2.0.10-cp312-cp312-win_amd64.whl (32.4 MB view details)

Uploaded CPython 3.12 Windows x86-64

EvoMSA-2.0.10-cp311-cp311-win_amd64.whl (32.4 MB view details)

Uploaded CPython 3.11 Windows x86-64

EvoMSA-2.0.10-cp310-cp310-win_amd64.whl (32.4 MB view details)

Uploaded CPython 3.10 Windows x86-64

File details

Details for the file evomsa-2.0.10.tar.gz.

File metadata

  • Download URL: evomsa-2.0.10.tar.gz
  • Upload date:
  • Size: 32.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for evomsa-2.0.10.tar.gz
Algorithm Hash digest
SHA256 b9642b7c9ad93246d8a02974ab22574f1898c2f9614ef256a41e6052a987772b
MD5 2ad76296014269f741bc718102e75d92
BLAKE2b-256 975657ea49ba0be1a262ae96e33dd47ceb56fda87143167b6224f375e34381d3

See more details on using hashes here.

File details

Details for the file EvoMSA-2.0.10-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: EvoMSA-2.0.10-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 32.4 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for EvoMSA-2.0.10-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 af72472d310e81c7c93c07d87257b2ff5ddb3ff3da22a59852a6673d14ad50b7
MD5 551f3ccf7251efe10b73a73d1f388584
BLAKE2b-256 48aeadcde42b2439bd2af79fe5b04bdd44fa05759a898e0930ecac4acd3a2a9d

See more details on using hashes here.

File details

Details for the file EvoMSA-2.0.10-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: EvoMSA-2.0.10-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 32.4 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.10

File hashes

Hashes for EvoMSA-2.0.10-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 5f30efa18c8299983dd9035e32b80ad2f12b75edbe2cc00ee9afc8faf70429ea
MD5 ded89b39a60747626ed6f3dc1ef8e61e
BLAKE2b-256 2e905b0621c51001ee4349057aa4426ac3584ba7d966bff4de080420d3ce2fbb

See more details on using hashes here.

File details

Details for the file EvoMSA-2.0.10-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: EvoMSA-2.0.10-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 32.4 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.15

File hashes

Hashes for EvoMSA-2.0.10-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 a516ab3314e3085fc15d4775490e1e80069dcb17df9e011ae804482f7856c252
MD5 b380a305ab83507bafbd99bd94d2ee40
BLAKE2b-256 d469220b0aaacce46f9e47369fd0bab1ec38ddca19f08e7378396cfc5de20f0b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page